[1]} developed a polynomial data reconstruction algorithm and used it to prove a result
later coined in [2]} as the Fundamental Law of Information Recovery.
Roughly, this law states that an attacker can reconstruct a data set by asking a sufficiently large
number of cleverly chosen queries of the data, even if the query answers are noised before being
returned to the attacker. This inspired the invention of differential privacy (DP) [3]}.
DP is a definition which requires that, for any two data sets differing in one row,
the distribution of answers to any possible query doesn't change much between the two data sets.
